Advancing evolutionary coordination for fixed-wing communications UAVs

Alexandros Giagkos*, Elio Tuci, Myra S. Wilson

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication


In this paper we present advances to our previously proposed coordination system for groups of unmanned aerial vehicles that provide a network backbone over mobile ground-based vehicles. Evolutionary algorithms are employed in order to evolve flying manoeuvres that position the aerial vehicles. The updates to the system include obstacle representation, a packing mechanism to permit efficient dynamic allocation of ground-based vehicles to their supporting aerial vehicles within large-scale environments, and changes to time synchronisation. The experimental results presented in this paper show that the system is able to adaptively form sparse formations that cover as many groundbased vehicles as possible, optimising the use of the available power.

Original languageEnglish
Title of host publicationTowards Autonomous Robotic Systems - 16th Annual Conference, TAROS 2015, Proceedings
EditorsClare Dixon, Karl Tuyls
Number of pages12
ISBN (Electronic)978-3-319-22416-9
ISBN (Print)9783319224152
Publication statusPublished - 15 Jul 2015
Event16th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2015 - Liverpool, United Kingdom
Duration: 8 Sept 201510 Sept 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference16th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2015
Country/TerritoryUnited Kingdom


  • Coordination strategies
  • Evolutionary algorithms
  • UnmannedAerialVehicles


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